Fraud Data Analyst

Overview

Fraud Data Analyst role at Cleo. Join the Fraud Squad to help protect users and the business from emerging fraud threats. Turn data into actionable insight and partner with cross-functional teams to move fast, iterate and stay ahead of attackers.

You’ll work in a fast-paced environment where analytical sharpness and strategic thinking are critical, helping answer questions such as: what fraud is slipping through defences? what’s driving our dispute rate this month? where are our rules creating friction for legitimate users? how do we make better decisions, faster?

• What fraud is slipping through our defences?
• What’s driving our dispute rate this month?
• Where are our rules creating friction for legitimate users?
• How do we make better decisions, faster?

Key Responsibilities

Fraud Detection and Investigation

• Proactively review and investigate emerging fraud incidents and disputes.
• Investigate reported fraud cases and disputes to uncover broader trends and patterns.
• Develop and refine fraud rules to improve efficiency.
• Conduct root-cause analysis of false positives to fine-tune detection strategies.
• Proactively identify potential fraud threats and design and execute mitigation strategies.
• Work with the wider fraud squad to rapidly identify and mitigate fraud attacks through data-led diagnosis and short-term triage rule design and lead incident response.
• Stay on top of chargebacks / disputes and volume spikes and develop mitigation strategies to reduce losses and avoid threshold breaches (both for cards and ACH payments).

Data Analysis and Reporting

• Extract and analyse large volumes of transactional data using SQL.
• Produce comprehensive analysis with concise narrative on findings and proposed solutions, providing stakeholders with the information they need to take action.
• Build and maintain dashboards and reports that highlight fraud trends and KPIs.
• Own and monitor fraud KPIs and proactively flag areas of risk or opportunity.
• Improve access to fraud data through collaboration with engineering and AX teams.
• Present complex data findings to stakeholders in a clear and actionable manner.

Collaboration

• Work closely with product, operations, compliance, customer service and the wider fraud squad.
• Liaise with external third parties such as fraud vendor partners, payment partners.

What are we looking for?

Qualifications and Attributes

• SQL Proficiency: 2+ years hands-on experience with SQL, using it to analyze data, identify trends, and support investigations.
• Experience: Minimum of 2 years in a Fraud Data Analyst or similar role within payments, fintech, or eCommerce.
• Expertise in fraud typologies including identity theft, CNP fraud, payment fraud, Account Takeovers, etc.
• Versatility: Ability to switch between reactive and proactive work, handling urgent fraud cases while focusing on long-term prevention strategies.
• Detail-Oriented: Keen eye for detail, with a passion for uncovering trends and insights from complex data sets.
• Analytical Skills: Ability to analyse anomalies, identify trends, and convert findings into prevention strategies.
• Communication skills: Excellent communication and stakeholder engagement skills.

What you’ll get for all your hard work

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to quarterly OKR planning cycles.
• Work at a fast-growing tech startup backed by top VC firms Balderton & EQT Ventures.
• A clear progression plan, with support to grow, lead others, and own your impact.
• Flexibility and a healthy work-life balance.
• Global, distributed work setup with optional hybrid in London and travel coverage for others.

Other Benefits

• Company-wide performance reviews every 6 months
• Generous pay increases for high-performing team members
• Equity top-ups for promotions
• 25 days annual leave + public holidays, with up to 30 days after each year
• 6% employer-matched pension in the UK
• Private Medical Insurance via Vitality, dental cover, and life assurance
• Enhanced parental leave
• 1 month paid sabbatical after 4 years
• Regular socials and activities
• OpenAI subscription paid for
• Online mental health support via Spill
• Workplace Nursery Scheme
• And more

Welcoming Everyone

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your situation, please let us know.

By submitting this application, I confirm that all information provided is true to the best of my knowledge and that I have not wilfully suppressed any material fact. I understand that if information is false or incorrect, my application may be rejected or employment terminated. By submitting, I agree that my personal data will be processed in accordance with Cleo’s Candidate Privacy Notice.

Job Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology